Engineering PhD

micro1; United States; À distance; USD 110 000 - 131 000; Temps partiel

Résumé du poste

micro1 is a data lab helping AI labs and enterprises train foundational models and agents. We build frontier evaluations and reinforcement learning environments to improve LLM capabilities and robust AI agents in enterprise settings.

This short pilot invites experts to craft engineering problems, demonstrate correct solutions, and set clear evaluation criteria. Join a 2–3 week remote project that requires an Engineering PhD or candidate in electrical, mechanical, chemical, industrial, or

Qualifications

• PhD or PhD candidate in engineering fields (Electrical, Mechanical, Chemical, Industrial, or Aerospace).
• Strong ability to design and evaluate engineering problems.
• Experience in rigorous technical reasoning and documentation.

Responsabilités

• Design technical problems from real engineering workflows with clear constraints.
• Provide the correct solution and step-by-step reasoning to reach the verdict.
• Define objective criteria for correctness so results are verifiable by others.
• Review problems submitted by others for technical accuracy and completeness.
• Identify and flag ambiguities or ungradable items during evaluation.

Connaissances

PhD

Mechanical Eng

Electrical Eng

Chemical Eng

Formation

PhD

Description du poste

Pay: $80 - $95/hour

Required Skills

• PhD
• Mechanichal Engineering
• Electrical Engineer
• Chemical Engineer

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert‑level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role

Engineering PhD

Opportunity Snapshot

• Pay: $80–95/hour
• Duration: Short-term pilot — approximately 2–3 weeks
• Project kickoff: Ideally end of week( November 8th)
• Location: Fully remote

You’ll need: PhD or PhD candidate in electrical, mechanical, chemical, industrial, or aerospace engineering

Your tasks

Build technical problems from real engineering workflows and define what makes an answer correct

This is a short pilot, roughly 2–3 weeks, focused on real engineering workflows: the problems you’d actually encounter in your research or practice, not textbook exercises. You’ll build those problems, provide the correct analysis, and define what separates a right answer from one that only looks right.

What you’ll do

• Design technical problems drawn from real engineering work in your field, with realistic constraints and supporting data.
• Provide the correct solution and walk through the reasoning that gets there.
• Define objective criteria for correctness, so another engineer reviewing the work would reach the same verdict.
• Review problems built by other contributors for technical accuracy and soundness of method.
• Flag problems that turn out to be ambiguous or ungradable rather than submitting them.

What we’re looking for

• PhD, or PhD candidate, in electrical, mechanical, chemical, industrial, or aerospace engineering.
• Degree from a strong research institution is preferred.
• Hands‑on research or practice experience — problems you worked on yourself, not ones you read about.
• Able to explain why an answer is correct clearly enough that another engineer could verify it.
• Publications or a record of technical contribution is a plus.
• AI or LLM evaluation experience is a plus, but not required.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.